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NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset. As a business intelligence (BI) developer in the Business Intelligence department, you will collaborate with team members to create and refine datasets, dashboards, and reports that support decision-making across the organization. Serving as a BI developer, your day-to-day role will include managing data pipelines, validating data accuracy, and resolving issues that arise within the BI ecosystem. You will collaborate closely with analysts, finance, IT, and other teams to translate needs into technical solutions. • Develop, maintain, and optimize datasets, data models, and reports to support organizational decision-making., • Build and manage extract, transform, and load/extract, load, and transform (ETL/ELT) processes to ensure reliable data ingestion, transformation, and delivery across systems., • Validate data accuracy and troubleshoot issues with pipelines, models, and reports to maintain a high-quality BI environment., • Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver user-friendly dashboards., • Monitor BI system performance, implement enhancements, and ensure adherence to data governance and security standards., • Document processes, data definitions, and system changes to support long-term sustainability and team knowledge sharing., • Provide ongoing support for existing reports and datasets, including maintenance, updates, and performance tuning., • Partner with analysts and other teams to enable consistent, accurate, and accessible reporting across the organization., • Expertise with reporting tools, software, and other applications., • Established experience as a BI developer, creating interactive reports, visualizations, and data modeling., • Advanced Query Languages: Structured Query Language (SQL), Data Analysis Expressions (DAX), and Power Query M., • Python Proficiency: Ability to write clean, efficient Python for data transformation, validation, and automation, including using libraries such as pandas, Python Apache Arrow (PyArrow), or Microsoft Fabric Lakehouse Application Programming Interfaces (APIs)., • Spark/Notebooks: Experience using Python Apache Spark (PySpark) and Microsoft Fabric/Spark notebooks to manipulate large datasets, create transformation pipelines, and support more scalable data engineering tasks., • Experience building and maintaining fabric data pipelines, dataflows Gen2, notebooks, and lakehouse tables., • Understanding of delta tables, medallion architecture, incremental refresh, and performance tuning., • Ability to troubleshoot data pipeline failures, refresh issues, schema changes, and data mismatches across multiple layers., • Excellent analytical reasoning skills to translate operational and financial processes into scalable, accurate data models., • Similar experience in Google, Amazon Web Services (AWS), or Microsoft Azure Cloud is qualified., • Advanced Microsoft Fabric experience., • Kusto Query Language (KQL) for fabric real-time intelligence and telemetry analysis., • Exposure to Microsoft Azure services, such as Azure Data Factory, Azure SQL, or Data Lake Storage., • Understanding of security models (role-based access control [RBAC]), data governance, and compliance frameworks., • Microsoft Fabric Analytics Engineer certification (in progress or completed)., • A bachelor's degree in computer science, information technology/systems, finance/accounting, math/statistics, or a similar discipline, and five years of related experience, including experience with writing reports and analyzing technical requirement modes. It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact ___ if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. Learn more about NYSTEC by visiting ___. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

CS/IT Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness : projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI —full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI —so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway , not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers , Java full stack developers , Python/Java developers , DevOps-focused engineers , and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers . The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways , and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume Resolve hardware, software and network problems Provide hardware / software technical support Providing software and hardware support to end users Provide technical hardware, software and network support to end users Assist in troubleshooting software application issues Provide technical support for both hardware and software issues users Perform software and hardware demos Maintaining inventory of hardware/software in the computer Troubleshoot all support issues for the company (hardware/software/network) Develop applications software and systems Inquire regarding computer software or hardware operations to resolve problems Supporting maintenance of system software and hardware components Determine computer problems and to coordinate hardware and/or software solutions Configure and upgrade computer hardware / software Plan software releases in accordance with other software applications Provide system level support to all personnel for all company computer software Provide user orientation on hardware, software and network operations Perform first-line troubleshooting on various hardware and software Provide user PC hardware/software phone support Provide computer support services both for hardware and software through company help desk system

At Henderson, we're about more than just buildings We're about the people, experiences, and longevity of a building. We're a company of problem-solvers and innovators known for our technical excellence and ability to provide come up with out-of-the-box solutions when it comes to design and construction. We love the process of bringing buildings to life - and keeping them in shape long after the doors open. As an ESOP, each of our employee-owners are an essential part of our mission to lead the industry in innovation, sustainability, and client experience. With a vision to build a better world, Team Henderson has a people-first culture and diverse portfolio of world-class facilities. It's What We Do We provide total building system design and construction services across multiple high-growth markets throughout the country for industry leaders. You'll get to use your talent to work on projects for some of the biggest names in mission-critical, higher education, sports, healthcare, grocery, restaurant, and retail within the sectors we serve in business, community, grocery, health, retail, and venue. It's How We're Different We're about more than just buildings. We're about you. You, and the hundreds of passionate employee-owners who make us who we are. We've always been committed to providing an inclusive workplace where people can bring their full self to work and helps people reach their full potential - both as professionals and individuals. Together, we provide dream up innovative solutions for our clients industry-wide problems, design and construct spaces that become landmarks, and toast the good life at our happy hours. Take a peek into what makes us different here: ___ Henderson Engineers is looking to hire a Senior Mechanical Engineering Manager to join their Community Sector. A Senior Engineering Manager is a senior technical leader with broad responsibilities related to the health, growth and performance of engineers within a sector. They are responsible for leading a team of engineers, driving technical excellence and operational efficiency through discipline-specific operational oversight, people development and strategic resource management to ensure the organization consistently delivers high-quality work while supporting the professional growth of its technical staff. They maintain a strong technical presence while guiding staff to execute the technical vision and strategy of the sector. Required Qualifications: • Bachelor's degree in relevant field of engineering (e.g., mechanical, electrical, fire protection, or architectural) preferred. High School Diploma or General Education Degree (GED) required., • Minimum 15 years of relevant progressive experience required., • Minimum of 3 years in a leadership or management role required., • Expert knowledge and proficiency in engineering design, A&E industry, codes, design guides and standards relating to a broad range of practices, projects and/or program types required., • Proficient knowledge and understanding of earned value, contracts and construction processes and methods required., • Working knowledge of current and industry specific tools and software required, including BIM modeling, markup and annotation, workflow and task management applications., • High emotional intelligence and ability to lead with empathy and clarity, navigate performance conversations constructively and support team members through challenge and change., • High technical aptitude with ability to learn, understand, and utilize various systems and processes. Experience and comfortability with training others on systems and processes., • Proven track record of developing high-performing teams, aligning them with organizational goals, and fostering cross-discipline collaboration., • Proven track record of serving as a connector between teams, leadership and business functions, translating vision into action and culture into practice., • Experience in championing the growth of others through mentorship, coaching and cultivating a pipeline of future leaders., • Effective verbal and written communication skills with the ability to communicate with designers at all levels in a clear and concise manner., • Effective critical thinking and problem-solving skills., • Team oriented and willingness and ability to function in a highly collaborative environment, in group projects and leading less experienced designers. Ability to work independently as needed., • Adapts to changing work environments, priorities and organizational needs., • Ability to prioritize, execute and/or direct multiple tasks in a dynamic environment., • Ability to give and receive constructive feedback and adjust to coaching., • Must be a self-starter, proactive and willing to teach, manage and/or help others as needed., • Must be trustworthy and capable of handling sensitive information. Preferred Qualifications: • Professional Engineering (PE) license preferred., • Additional certifications aligning with the relevant technical field (e.g., BEMP, CPD, CDP, NICET, RCDD, etc.), • preferred., • Sustainability certifications (e.g., CDP, LEED, WELL, etc.) preferred., • Performance as an Engineer of Record (EOR) preferred. Essential Job Functions & Responsibilities: Team Leadership & Development: • Leads the coaching culture across a team of technical staff through goal setting and alignment with organizational goals, measuring progress and ensuring succession planning, leadership development and technical mentorship are scalable within the sector., • Builds strong leadership teams and supports engagement across multiple levels within a sector., • Oversees performance management processes for their staff, sets expectations for Engineering Managers, monitors sector-wide performance trends and adjusts plans with business workload., • Proactively collaborates with sector leadership on business planning, team capacity, forecasted needs and cross-sector alignment to ensure an effective staffing strategy., • Cultivates psychological safety and inclusion and leads through trust and high-impact relationships., • Ensures discipline-specific communication reaches the sector and translates strategy into clear expectations for Engineering Managers and their teams., • Acts as a career coach, providing performance feedback and guidance on skills progression and career development, particularly for engineers advancing to more senior roles., • Practices effective employee relations and personnel management for the discipline., • Manages the application of quality strategies for the discipline and ensures quality standards are met., • Manages the application of quality assurance tools, processes, databases, priorities and industry best practices for the discipline., • Drives the application of quality initiatives to enhance engineering processes, optimize production and improve how we work., • Champions a culture of continuous improvement, implementing best practices and adopting developing technologies to drive operational excellence., • Works with sector leadership on resource allocation and assigning appropriate staff to project scopes as needed., • Proactively monitors and tracks earned value generation for the discipline through engagement with design staff, project managers and design leads on projects. Recommends tools and efficiencies for accurate data monitoring and reporting., • Ensures that the feedback loop on engineering initiatives, project staffing, and KPIs are functioning smoothly., • Serves as a consultant on interviews for technical production staff within the sector., • Works closely with engineering leadership to ensure the team adheres to technical processes and standards. Supports technical problem solving where necessary. (where applicable): • Consistently performs to a higher standard of industry-wide expectations associated with carrying a PE license and being enabled as an Engineer of Record (EOR), including making reasonable engineering decisions and delivering the highest quality of work and accountability to projects. We take care of our people. As a Henderson employee, you'll enjoy some pretty awesome perks. Trust us, your friends will all have work envy. Culture • Flexible Work Hours (Because we all need to balance work and life.), • Casual Dress Code (Be yourself, please.), • Paid Volunteer Time (We literally pay you to volunteer.), • Paid Parental Leave (Because we know both parents deserve to be there for a new child.), • Health and Wellness Initiatives (Get Fit and Stay Fit.), • Receptive and Forward-Thinking Leadership (Our doors are always open.), • Clear Career Path Options (We want you to excel.) Benefits • Industry-leading 401K match and profit sharing (When the company succeeds, we all share in that success.), • Employee Stock Ownership Plan (Yes, our employees are the owners.), • Paid Training for Professional Development (We'll pay for the time you take getting better at what you do.), • Performance Bonuses (When you do well, we reward you for your work.), • Comprehensive and Extensive Insurance (We've got you covered.), • Paid Term Life and Disability (We've got your family covered, too.), • Health Savings Account & Flexible Spending Accounts (We'll help you take advantage of tax savings.), • Paid Time Off and Sick Time off (Take a break. You deserve it!), • Financial Wellness & Coaching Program (Financial security makes you a happier team member.) More information can be found here - ___. Henderson Engineers, Inc. and Henderson Building Solutions are EEO Employers/Vet/Disabled and participate in the E-Verify program. Applicants for positions with Henderson Engineers/Henderson Building Solutions must be legally authorized to work in the United States, and verification of eligibility will be required at the time of commencement of employment. All offers will be contingent upon completion of the hiring process including verifications and background checks as required for employment. To all recruitment agencies: Henderson does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of Henderson without a prior written search agreement will be considered unsolicited and the property of Henderson. Please, no phone calls or emails. NOTICE TO CANDIDATES: RECRUITMENT FRAUD ALERT Henderson representatives conduct all email communications exclusively through a company email address that ends with @. We extend offers of employment only after a comprehensive interview process and will never ask you for a payment of any sort nor offer one for any reason. Henderson will not ask any applicant to purchase equipment, nor offer to reimburse any applicant for expenses incurred prior to employment. We will not request personal information until a legitimate offer of employment has been extended. If you suspect a recruitment attempt is fraudulent, you should cease communications. All legitimate job opportunities are posted on our company website's careers page.

Site Reliability Engineer Overview: As a Site Reliability Engineer at Weedmaps you will work cross-departmentally with your partners on the application infrastructure and quality teams to enhance the performance reliability resilience and scalability of the web services that make up . We are a cloud native organization with 100% of our services in Docker running on Kubernetes in AWS public cloud. We also leverage observability monitoring CI/CD automation and custom tooling to push multiple production releases a day. Your day to day focus will be leveraging your engineering skills to assist in the building out monitoring reducing developer toil configuring CI workflows and improving our deployment pipelines. You will also be a knowledge reference for our development teams to ensure they are leveraging consistent tooling for metrics logging build and deployment. You will work closely with the development and infrastructure teams to identify the essential service-specific metrics (beyond the golden metrics) that need to be monitored and work with application development teams to create libraries to allow services to easily instrument their services. The impact youll make: • Collaborate with stakeholders to drive best practices for monitoring CI/CD pipelines, • Troubleshoot deployment issues in our CI pipeline, • Advocate emphatically for the DevOPS culture here at Weedmaps, • Identify areas for automation and embrace the codification of all things, • Evangelize best practices around collaboration reliability security and performance to all partner teams, • Take ownership of the application configuration/scaling for given services to ensure that they are following the established practices of the organization, • Minimum 2 years of development experience at startup/mid-sized companies, • Proficiency in Python Go Node Ruby or Elixir, • Knowledge of containerization particularly Docker (Kubernetes is a plus), • Effective communication skills a positive attitude and ability to give and receive constructive feedback, • Professional experience with cloud native observability standard such as Open metrics Open tracing and Open Census, • Expertise using/configuring modern CI/CD workflows, • Intimate understanding of SLIs SLOs and SLAs from the service level to the business level, • Intimate understanding of the golden metrics how to monitor and alert on them, • Deep understanding of the GitHub branching strategy, • Experience troubleshooting containerized applications, • Familiarity with cloud infrastructure concepts (AWS GCS), • Experience with Hashicorp tools such as Terraform Consul Vault, • Computer science or other engineering background, • Experience with CI tools such as CircleCi Jenkins Travis Drone Semaphore etc. 2026 US Benefits for Full Time Regular Employees: • Physical Health (Medical Dental & Vision), • 100% employer-paid premium for employees, • Up to 80% coverage for dependents, • Company HSA contribution with the High Deductible Health Plan, • 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution), • Basic Life Voluntary Life and AD&D Insurance options, • Supplemental voluntary benefits, • Student Loan Repayment/529 Education Savings with a monthly company contribution, • FSA (Medical Dependent Transit and Parking), • Voluntary Life and AD&D Insurance, • Critical Illness Insurance, • Accident Insurance, • Short- and Long-term Disability Insurance, • Pet Insurance, • Identity theft protection, • Legal access to a network of attorneys, • PTO paid sick leave and company holidays (including a 2026 holiday shutdown) Life at Weedmaps means innovation and heart. Come join us if you care about the plant the people who love it and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed and the community that supports it. You too can have a hand in shaping the industrys future; ready to roll with us See how weve grownour journey leadership team and whats next at ___

DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Alex Millan Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $130,000 - $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations. With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms. They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure. This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling. You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment. Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale. Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows. Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency. Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment. Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities. Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership. Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization. Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks. Proven expertise in AWS and Azure cloud environments. Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates). Skilled in Python, Bash, or PowerShell for automation and deployment scripting. Familiarity with Docker, Kubernetes, and container orchestration in production environments. Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics. Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR). Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert. Experience with MLOps, streaming data, and cloud cost optimization. Background in Agile/Scrum methodologies with tools like Jira or Asana. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

This Jobot Job is hosted by: Bryna Rabin Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $70,000 - $100,000 per year A bit about us: We are all about owning what we do. From our founding in 1989, we are recognized around the Valley as a prominent contractor who provides quality infrastructure management and construction services to our public and private clients including underground utilities, pipeline rehabilitation, UV CIPP rehabilitation, water and wastewater facilities, street improvements, grading, paving concrete flatwork and structures. We have become 100% employee-owned, giving each employee-owner an enhanced sense of pride and commitment towards their specific contribution to the services we provide. Why join us? Do you want to build the most state of the art projects? We do too! • Competitive Base Salary!, • Competitive Bonus Package!, • Extremely Competitive Benefits Package!, • Employee Ownership!, • Stock Options!, • Flexible Work Schedules!, • Company Truck/Truck Allowance!, • Accelerated Career Growth! Job Details As a Project Engineer your role is: • Project Planning & Execution: Material procurement and expediting, assistance in work planning for self-perform and work activities, oversight and mentoring of engineering staff, Project close-out: involved in coordinating of documentation - deficiencies, warranties, maintenance and final payments, • Project Document Controls & Procedures: Coordinating and reviewing drawings, submissions, specifications, changes and document control, Change management – responsible for set-up, issuing documentation, pricing and change administration, • Subcontract Management: Subcontract administration – defining scope of work, writing subcontracts, answering inquiries, monitoring progress, tracking and processing back charges A Bachelor's degree in Civil, Mechanical, Electrical, Environmental Engineering, Construction Management or comparable Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Senior AI/ML Engineer Location: New YorkNY 4 days onsite Must have financial client experience Job Summary We are seeking a highly skilled Senior Developer to lead the development of a Python-based platform that ingests internal data sources (e.g. Hadoop REST APIs) and applies locally deployed language models (LLMs) for text analysis including issue classification and summarization. This role requires a blend of strong engineering expertise in building scalable data systems and good communication skills. Key Responsibilities Design & Development Architect and implement a robust data ingestion pipeline using Python. Integrate with Hadoop and/or internal APIs for sourcing structured and unstructured data. Design modular components for data transformation enrichment and routing to downstream NLP models. LLM Integration Incorporate local LLM models for classification and summarization tasks. Use prompt orchestration chaining and context-aware techniques to improve NLP accuracy and consistency. Ensure performance and stability of LLM-based components in production environments. Collaboration & Engineering Practices Work closely with data engineers product owners and ML researchers to refine use cases and deliver high-quality solutions. Follow modern software engineering best practices including testing CI/CD and code documentation. Participate in design reviews and knowledge-sharing sessions. Required Qualifications Must have financial client experience 8 years of professional experience in Python software development. Proven experience working with big data systems particularly Hadoop PySpark or related technologies. Practical experience using LLMs vector databases embedding pipelines and retrieval-augmented generation (RAG) architectures. Familiarity with NLP tasks such as classification summarization and information extraction. Experience building or maintaining APIs and microservices. Experience with Model Context Protocol (MCP) for managing prompts and contextual data across LLM applications. Preferred Qualifications Familiarity with LLMOps tools and scalable inference strategies. Prior work with LangChain Hugging Face Transformers or vLLM runtime environments. Data scientist related experience such as collaborating on model training and evaluation aligning data processing logic to ML objectives or working on feature engineering and experimentation pipelines. Background in financial services enterprise software or regulated environments. Employment Type : Full Time Experience: years Vacancy: 1

Brelliums mission is a big one to improve the standard of care across the US healthcare system. Weve built AI-powered technology that helps healthcare providers deliver safer higher-quality care - starting with the first real-time medical review platform built to fix clinical and compliance risks before they impact patients. Each year 1 in 20 people in the U.S. experiences a medical diagnostic or compliance-related mistake. Most providers lack the time staffing and tools to mitigate these issues - so they go unnoticed impacting care quality and increasing clinical and financial risk. Brellium is building the AI-powered platform that helps providers deliver safer more consistent care by mitigating risk early and aligning patient visits with clinical best practices. Our goal is to give every provider in the U.S. the tools to deliver clinically excellent data-driven care - at scale. Brellium was founded in 2021. Since then weve grown to serve over 250000 providers across all 50 states who use Brellium to take better care of their patients and ensure data-driven compliant care. Were a Series A company with over $30MM in funding from First Round Capital Left Lane Capital and Menlo Ventures. THE ROLE Were hiring a Senior Backend / Infrastructure Engineer to design the systems that let Brellium scale 10x. We currently process 100k sessions per day and were building toward 1 million. That requires robust distributed systems resilient pipelines and infrastructure that doesnt break under load. Youll architect and build the backend systems that ensure reliability observability and performance as volume increases by an order of magnitude. WHAT YOULL DO * Design and evolve distributed systems to support 10x growth in session volume * Improve throughput fault tolerance and system resilience across the core pipeline * Build scalable data pipelines and processing infrastructure * Strengthen observability monitoring and incident response * Reduce operational bottlenecks and technical debt * Collaborate with AI and product teams to ensure the underlying systems can support new capabilities at scale YOU MIGHT BE A FIT IF YOU * Have scaled systems handling high throughput or real-time processing * Are comfortable with distributed architectures and failure modes * Think in terms of system design not just features * Have strong backend fundamentals: databases queues concurrency APIs * Care deeply about reliability and performance under load REQUIRED SKILLS * 5 years of professional software engineering experience with a backend/infrastructure focus * Expertise in Python and AWS infrastructure. * Experience building and scaling data-intensive applications and pipelines * Strong understanding of distributed systems concurrency and database internals * Proven track record of improving system reliability and performance in production Compensation: $190000 $260000 We are committed to offering a comprehensive and competitive total rewards package including robust health benefits commuter benefits and meaningful ownership opportunities through equity. Compensation decisions are made holistically ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. * 401(k) Retirement Savings Plan * Equity Compensation * Dinner Provided via DoorDash & stocked kitchen for NY employees * Medical Dental and Vision coverage coverage of up to 100% premiums for you and your family * HSA / FSA * 11 paid holidays each year * Unlimited PTO * Training and professional development * Hybrid Work Schedule (4 days onsite 3 if located > 1 hour away) Bias to Action: Brellium teammates do not wait to make reversible decisions or seek unnecessary approval. We quickly decide and move forward. If the decision was incorrect we quickly reverse it and move forward. Thinks for themselves: Brellium teammates do not take things at face value. We ask why until base truth is reached. If a better solution is present Brellium teammates use it regardless of status quo. Negative Maintenance: The opposite of high maintenance isnt low maintenance - its negative maintenance. Brellium teammates are poised under pressure self-motivated self-improving self-disciplined self-aware and non-defensive. Expect Excellence: We hold ourselves to exceptionally high and continuously rising standards. We strive for thoughtfulness in our decision making and for speed and quality in our execution. We acknowledge trade-offs and communicate proactively. Communicate with Clarity: Brellium teammates communicate concisely directly and purposefully. We optimize for ensuring our points are easily understood the first time. We are aware of fraudulent job offers claiming to be from Brellium. All legitimate communication comes from _________

Perceptas mission is to transform critical institutions with applied AI. We care that industries that power the world (healthcare manufacturing energy) benefit from frontier technology. We collaborate with industry-leading customers to drive AI transformation. We bring: * Forward-deployed expertise in engineering product and research * Mosaic our in-house toolkit for rapidly deploying agentic architectures * Strategic partnerships with Anthropic McKinsey AWS and the General Catalyst portfolio Our team is a fast-growing group of Applied AI Engineers Embedded Product Managers and Researchers motivated by getting frontier AI into the places that actually run the world. Percepta is a direct partnership with General Catalyst. Were hiring an AI Infrastructure Engineer to own the infrastructure deployment and operational reliability that powers Perceptas AI systems including the autonomous agents at the core of what we ship. Part of the work is hardening what exists: tightening our Terraform footprint strengthening deployment pipelines bringing more rigor to how we manage infrastructure across regions and providers. Part of it is building whats missing. And part of it is genuinely new territory figuring out what SRE means when the systems youre operating make autonomous decisions. The infrastructure patterns for the agentic systems of the future dont exist yet. Youll help define them. * Youre deploying autonomous systems. The infrastructure contract changes when your workloads have agency. * Observability means understanding why an agent made a decision not just whether a pod is healthy. * The gap between research and production is real here. Our teams move optimization algorithms and AI systems from research environments into production and youll be part of that handoff. MLOps experience isnt required but youll be closer to that boundary than most infra roles. * Small team. Real ownership. Youre making foundational decisions not inheriting someone elses. * Define infrastructure patterns for multi-agent systems that need to be observable controllable and recoverable in ways traditional apps dont require * Own and evolve our IaC stack: Terraform and Kubernetes across AWS GCP and Azure * Build observability primitives for agentic workflows tracing agent decisions and execution paths not just service latency and pod health * Design and maintain CI/CD pipelines that give teams fast trustworthy feedback from commit to production * Build operational foundations: monitoring alerting incident response and the new patterns that emerge when AI systems are participants in that response * Work across engineering teams to meet the reliability and compliance requirements of the institutions we serve (SOC 2 HIPAA regulated environments in healthcare and energy) * 5 years building and operating production infrastructure in DevOps or SRE roles * The kind of engineer who sees a manual process and cant rest until its automated well not just scripted * Strong hands-on Terraform experience * Deep experience with at least 1 major cloud provider (AWS GCP or Azure): networking IAM cost management the operational realities of production workloads * Solid Docker and Kubernetes experience in production. We run managed clusters across all 3 major clouds; this is a core part of the role * Experience designing and maintaining CI/CD pipelines (GitHub Actions GitLab CI or similar) * Scripting proficiency in Python Bash or similar * High agency: you dont wait for a ticket to fix whats broken but you communicate collaborate and bring the team along * Genuine curiosity about AI systems not just the infrastructure running them. You want to understand what youre operating * You find it interesting (not alarming) that some systems youll operate will be making decisions on their own * Multi-region and multi-cloud experience across 2 providers * Experience with single-tenant or on-prem deployments alongside multi-tenant SaaS * Familiarity with GitOps patterns and progressive delivery * Familiarity with the Grafana stack (Prometheus Grafana Loki) or equivalent * Experience with compliance frameworks (HIPAA SOC 2) and how they shape infrastructure decisions in regulated environments * Background supporting ML or research workflows moving to production: model deployment pipeline orchestration or similar * Youve thought about what observability means for non-deterministic systems and have opinions about it The infrastructure patterns for autonomous AI systems are still being written. If you want to be one of the people writing them lets talk. Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism responsibility and genuine belief that we can make it happen. We have to embrace the hard things when no one else will. Heart in the game: What were doing matters and we have to give a shit. Internally that means fixing badness when you find it. Externally it means honoring the trust our customers place in us with their most important problems. This isnt a 9-5 nor is it a job were ever going to monitor your hours. We promise to put work in front of you that matters and in return we ask you to promise to care. Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes not outputs. Everything we dothe products we build the partnerships we launch the strategy we setexists to make our customers successful. Delivery is the strategy. Make the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But make the call cuts both ways: make the decision and make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos. Intensity with kindness: We believe in excellence in execution candor in feedback ruthlessness in prioritization and survivalist urgency. We also believe you dont need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable. Required Experience: IC Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1 Monthly Salary Salary: 180 - 300

Web Developer III Location: New York, NY Contract Duration: 6 months on W2 with possibility for extension/conversion Pay Rate: $70/hr Benefits: Dental, Health, Vision, PTO Job Overview Were looking for an experienced software engineer with a strong background in building web applications and deep proficiency in Python. In this role, youll help develop the next generation of computer-use agents by expanding anapp simulation pipeline used for training and evaluation. Youll work on a core product: an app simulator for AI agents (OpenApps ecosystem),a system designed to mimic real-world software environments where AI agents can learn and operate. This role sits at the intersection of product engineering and AI research, contributing directly to frontier advancements in AI systems. What Youll Do: • Scale and evolve our app simulation framework used to train computer-use agents, • Design and build applications that simulate real-world user environments, • Partner with researchers to translate experimental ideas into functional systems, • Contribute to the infrastructure powering next-generation AI agents Youll join a team focused on pushing the boundaries of secure, reliable, and scalable AI agents. This is a new initiative centered on advancing computer-use capabilities through high-fidelity simulation. Success in this role is measured by your ability to deliver impactful features that expand the capabilities of the research environment. Must-Have Skills • 57 years of software engineering experience, • Python, • Web Development (Python backend), • Familiarity or interest in AI research, • Experience working in scrappy, fast-moving environments, • Exposure to end-to-end application development Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMN

Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e. Sales Engineer, Solutions Architect, Data Engineer, Analytics Con

A cybersecurity firm in Boston is seeking a Big Data Engineer to enhance its data pipeline and deliver security insights.

MAG is offering a part-time consulting opportunity focusing on data engineering and analytics engineering. Professionals with at least 3 years of experience in data engineering and familiarity with technologies such as SQL and dbt are encouraged to apply. The role involves reviewing ETL/ELT pipeline

Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/langua

Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e. Sales Engineer, Solutions Architect, Data Engineer, Analytics Con

A leading AI technology company is seeking a Senior Machine Learning Engineer to enhance their AI research-to-production pipeline. You will design tooling for model deployment, improve infrastructure for efficiency, and resolve production issues.

A leading AI technology company in New York is looking for a pipeline engineer with over 5 years of software engineering experience, particularly in data processing pipelines. The role involves designing and building document processing pipeline stages, working with diverse document formats, and col

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in network engineering, infrastructure logs, telemetry review, network configuration analysis, anomaly identification, and structured technical data annotation workflows. This role supports current and upcoming remote consulting opportunities focused on structured network data review, infrastructure event analysis, telemetry classification, configuration assessment, data labeling, and high-quality project execution. Selected professionals will apply their network engineering expertise to review realistic infrastructure data, identify patterns and anomalies, prepare structured annotations, and support accurate, evidence-based network data workflows. Key Responsibilities Professionals in this role may contribute to: Network Data Review & Annotation • Review network-related data such as logs, configurations, telemetry, event streams, alerts, and time-series metrics, • Label and classify network behaviors, issues, anomalies, system states, and infrastructure events based on provided guidelines, • Support structured annotation workflows for large-scale network and infrastructure datasets, • Review enterprise network scenarios involving switches, access points, firewalls, routing behavior, connectivity issues, and configuration states, • Interpret logs, events, metrics, and configuration details to support accurate technical classification, • Evaluate network data against source materials, expected behavior, and documented infrastructure rules, • Support schema definition and structured data organization for network telemetry and infrastructure data workflows, • Review how raw infrastructure data is categorized, normalized, and prepared for downstream technical use, • Collaborate through structured review processes involving network events, data pipelines, and annotation standards Strong candidates may have: • Experience working as a network engineer, infrastructure engineer, network operations specialist, systems engineer, or related technical professional, • Hands-on experience with enterprise networks, including switches, access points, firewalls, routing, wireless infrastructure, or network monitoring, • Comfort interpreting logs, events, telemetry, alerts, configurations, and time-series metrics, • Strong ability to identify network behaviors, operational issues, anomalies, and infrastructure patterns, • Interest in structured data workflows, annotation, data pipelines, or autonomous infrastructure systems, • A degree or professional background in network engineering, computer science, information technology, systems engineering, cybersecurity, telecommunications, or a related technical field is helpful, • Experience with enterprise networking environments, NOC workflows, observability tools, cloud networking, or infrastructure monitoring, • Familiarity with Cisco, Juniper, Arista, Meraki, Fortinet, Palo Alto, Ubiquiti, Aruba, or similar networking technologies, • Experience with logs, metrics, event streams, schema definition, data labeling, or annotation workflows, • Familiarity with data pipelines, machine learning input preparation, or technical dataset review, • Apply network engineering expertise to structured remote data annotation and infrastructure review work, • Contribute to high-quality network telemetry classification, log review, and technical data organization, • Work on flexible, project-based assignments aligned with your networking background, • Use your infrastructure judgment in a focused, detail-oriented technical environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time or extended weekly commitment depending on project availability, • Competitive rates between $55–$80 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

A leading technology company is seeking a Mid-Senior DevOps / Infrastructure Engineer to own and optimize the cloud infrastructure and CI/CD processes. Ideal candidates should have over 3 years of DevOps experience, strong knowledge of cloud platforms like AWS or GCP, and expertise in CI/CD pipeline

Python-based platform engineer. The ideal candidate has strong experience developing production-grade APIs in Python that interface with data frameworks or pipeline orchestration systems, packaging services using containers (.

Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e. Sales Engineer, Solutions Architect, Data Engineer, Analytics Con

Salesforce) and familiarity with the sales pipeline, emphasizing the ability to help drive sales processes and track engagement. PitchBook's Sales Engineer provides support to our Sales and Customer Success teams as well as our clients related to our API and data feed solutions. Our Sales Engineer c

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring an experienced Oracle Engineer to join our team, a leading DeFi desk in the sector. In this role you will have end-to-end ownership of the oracle stack, including institutional market data ingestion from co-located data centres, low-latency aggregation, hardware-secured signing, and on-chain submission. This function operates within a zero-tolerance environment, where the integrity and accuracy of price submissions are critical. Key Responsibilities • Low-Latency Data Ingestion: Design and operate a multi-source feed handler architecture to ingest tick-level data from institutional market data providers, exchange direct feeds, and reference rate APIs. Ensure isolation of data sources with independent failure domains, and implement staleness detection, quorum-based validation, and automated failover across redundant data pathways., • Price Aggregation Engine: Develop a high-performance aggregation engine in Rust to generate a single reliable price from multiple, potentially divergent data sources. Implement manipulation-resistant statistical methods, outlier filtering, asset-specific confidence thresholds, and automated halting mechanisms when data quality falls below defined standards. Ensure consistent sub-second submission cadence with deterministic latency., • Cryptographic Signing & Submission: Implement a secure signing pipeline leveraging hardware security modules (HSMs) to ensure private keys remain within tamper-resistant environments. Integrate pre-submission validation checks against on-chain reference data and design an optimized submission path with minimal network latency., • Failover & High Availability: Architect and maintain a resilient multi-site infrastructure with active/standby configurations and automated failover capabilities. Ensure failover occurs within sub-second timeframes without data loss, and implement serverless fallback mechanisms for extreme failure scenarios. Maintain high availability through load-balanced endpoints with session affinity., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Rust Development: Proven experience building and operating production systems in Rust with sub-100ms latency requirements. Demonstrated ability to deliver and maintain high-performance Rust applications in live environments., • Market Data Infrastructure: Hands-on experience integrating institutional-grade, tick-level market data feeds. Familiarity with FIX protocol, exchange connectivity, and normalization of market data across multiple asset classes, including equities, FX, commodities, and rates., • Low-Latency Systems Engineering: Experience designing and operating low-latency systems within co-located data centre environments. Strong understanding of kernel bypass networking, lock-free data structures, and cache-efficient memory design., • HSM Integration: Practical experience integrating hardware security modules (HSMs) for cryptographic signing in production environments, including key lifecycle management, rotation policies, and adherence to security standards., • Message Streaming Systems: Expertise in high-throughput message streaming architectures, including consumer group management, cross-site replication, and backpressure handling. Experience with technologies such as Redis Streams, NATS JetStream, or equivalent., • Operational Reliability: Experience supporting mission-critical systems with strict uptime requirements. Demonstrated ability to implement circuit breakers, develop operational runbooks, and design systems for graceful degradation under failure conditions., • Statistical Methods: Strong practical knowledge of robust statistical aggregation techniques, including weighted median, outlier detection, and exponential smoothing, with an understanding of their resistance to manipulation. Preferred / Desirable Experience • Blockchain Oracle Systems: Experience building or operating oracle systems (e.g., Chainlink, Pyth, or custom implementations), including an understanding of slashing mechanisms and incentive design for price reporting., • Real-Time API Infrastructure: Experience developing high-throughput WebSocket and gRPC services for latency-sensitive applications such as trading systems or AI agents., • Cloud Infrastructure (AWS): Experience designing and operating high-availability cloud infrastructure, including HSM services, serverless architectures, object storage, and service discovery with health-check orchestration., • Traditional Finance Market Microstructure: Understanding of global market microstructure, including trading hours, session boundaries, after-hours pricing, and weekend gap dynamics across asset classes. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description Overview Related Digital is a leading vertically integrated data center development and investment platform. We deliver digital infrastructure solutions to hyperscale technology companies so they can accelerate artificial intelligence and cloud computing ambitions. Founded by Related Companies, one of the most prominent, privately-owned real estate development firms in the United States, Related Digital uniquely combines Related’s 50-year+ history of executing complex real estate and infrastructure projects with its track record in real estate investing and clean energy solutions. With a multi-billion-dollar, near-term development pipeline in the U.S., Related Digital has the expert capabilities, depth of expertise and national scale to help hyperscale companies significantly grow their data center capacity on a rapid timeframe. Strategic Advantage: Related Digital harnesses expertise across real estate development and investment, data center development, complex infrastructure construction and clean energy development to bring differentiated solutions to hyperscale technology companies. National Footprint: Related Digital is based in New York and Dallas with operations across the United States. Related Companies has offices in gateway cities across the U.S. and London, and developments in 28 states and the District of Columbia, and boasts 4,000 employees. We are proud to be an equal opportunity employer and are deliberate about the team and culture we are building. We aim to ensure competitive total compensation that is commensurate with experience, workplace geography, and market standards. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at . #RelatedDigital #LI-RB1 #Onsite Responsibilities We are seeking an experienced Mechanical Engineer with a strong background in data center design to join our data center procurement team, which supports our growing development pipeline. This group is responsible for establishing equipment standards, evaluating long-lead vendors, and driving the technical decisions that shape our OFCI procurement strategy. This individual will play a key role in the design, technical evaluation, and delivery of complex, mission-critical facilities and should have deep expertise in HVAC systems, thermal management, and large-scale mechanical infrastructure. This position is based full-time at our Hudson Yards headquarters. Responsibilities * Lead and coordinate mechanical design for hyperscale projects from concept through construction. * Develop and review HVAC system layouts, load calculations, and equipment selections, ensuring alignment with performance, reliability, and energy-efficiency targets. * Ensure all designs comply with applicable codes, standards, and best practices (e.g., ASHRAE, SMACNA, NFPA). * Collaborate closely with internal project managers, electrical engineers, architects, and external consultants to deliver integrated and cost-effective solutions. * Evaluate utility and infrastructure requirements, including chilled water, condenser water, and air-side systems. * Review and approve submittals, RFIs, and shop drawings during construction. * Support commissioning and integrated systems testing to validate system performance, redundancy, and efficiency. * Participate in value engineering, constructability reviews, and risk assessments. * Stay current on innovations in mechanical systems, sustainability strategies, and energy-optimization technologies. Qualifications • Bachelor’s degree in Mechanical Engineering or related discipline; PE license preferred., • 5–10 years of professional experience in mechanical design, with a focus on data centers, mission-critical facilities, or large-scale commercial infrastructure., • Deep understanding of cooling and air distribution systems, hydronic systems, and energy-efficient design principles., • Understand, critique, and manage the development of energy models to inform design decisions and support the preparation of project OPEX budgets., • Familiarity with HVAC load modeling and BIM software (e.g., TRACE 3D Plus, Revit MEP)., • Strong technical writing, organization, and communication skills., • Proven ability to manage multiple priorities in a fast-paced environment., • Collaborative mindset and ability to work effectively with cross-functional teams and external partners.

Job Description Hi, we're Oscar. We're hiring a Staff Software Engineer to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role As a Staff Software Engineer you'll join our distributed team, leading the design and development of enhancements to our next-generation claims and payment processing systems. You will work on a broad problem space spanning contract and pricing configuration, system extensibility through our internally developed DSL, and data pipeline architecture and efficiency. You'll selective apply AI to solve hard problems, automating and improving processes that previously tedious and error-prone. Your focus will be on building scalable and reliable systems that ensure the accuracy and efficiency of our claims and payment processes. You will report to the Director, Software Engineering. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $192,000 - $252,000 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Serve as the subject matter expert on business and technical domains., • Lead the planning, execution and release of complex technical projects across multiple teams, including owning medium to large features or infrastructure projects from technical design through completion, • Work with partners, product managers, and designers to solve challenging problems., • Lead and mentor engineers and engineering teams to improve technology, apply best practices and set overall team direction., • Responsible for ensuring the team's delivery of large or complex technology capabilities (set of components or services) within their team's domain or spanning multiple domains., • Facilitate, encourage, and enhance a culture of collaboration within the engineering team and its internal customers; recognizing when cross-team projects are at risk and actively mitigate risk to deliver on time., • Prolific contributor to the objectives of their functional group, and plays a key role in driving outcomes for organization-wide projects., • Work with leadership to assign prioritization of technical roadmap and influence prioritization of product roadmap and process enhancements within their area and across related areas., • Actively identifies and reduces failure domains while working with their team to do the same., • Builds software to minimize effort and business impact during maintenance and failures., • Guide the development of Service-Level Objectives (SLOs) for systems they and their team are responsible for., • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 7+ years of professional software engineering experience, • 5+ years of experience as a leader of cross-pod or cross-company deliverables, • 5+ years of experience leading technical contributions, improving the quality of what your teams create, • 5+ years of experience with practical application of CS concepts within their team., • 5+ years of experience setting and enforcing the standard for writing stable, correct, and maintainable code At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role This is an engineering role embedded in the Marketing team. The GTM Engineer designs and builds the systems — AI agents, automation workflows, enrichment pipelines, attribution infrastructure — that power how Stuut goes to market. You'll work alongside Demand Generation, GTM Infrastructure, and RevOps to translate campaign strategy into systems that run at scale. You won't wait for an ops team to build for you. You'll architect and ship the infrastructure yourself, with enough marketing fluency to know what's worth building and why. Engineering rigor is the primary requirement; commercial instinct is what makes you exceptional in the role. This is not an ops role that occasionally touches messaging, and it is not a marketing role with light technical exposure. It is a builder's seat inside Marketing, with full ownership of the technical layer that drives pipeline. What You'll Do * Design and build AI agents from scratch that autonomously run marketing workflows: content generation, campaign development and launch, paid channel optimization, creative testing, and more. * Architect enrichment, scoring, and routing pipelines that turn raw signals into prioritized accounts and contacts with full context for the GTM team. * Build scripts, automations, and integrations across Clay, HubSpot, Smartlead, n8n, and the broader stack — partnering with GTM to extend the core infrastructure on the marketing side. * Instrument campaign attribution and reporting end-to-end. Every touch traceable, every dollar accountable. * Maintain HubSpot as the source of truth for marketing activity: clean data, meaningful properties, functional workflows. * Partner with demand generation programs across outbound, paid, and content channels — owning the technical execution and contributing to strategy. * Translate buyer insight into the messaging, sequencing, and personalization logic that drives reply and meeting conversion. * Define success metrics before launch, monitor results across channels, and iterate continuously. * Partner with GTM on shared infrastructure decisions and ensure the marketing layer integrates cleanly with core outbound systems. * Partner with RevOps so campaign data flows correctly into pipeline reporting and lifecycle management. * Document the stack so it is maintainable, scalable, and not a single point of failure. You Might Be a Fit If You… * Are a builder first. You write production-quality code, design systems other people depend on, and have shipped GTM or marketing infrastructure end-to-end — not just configured tools someone else set up. * Are fluent across the modern AI and GTM stack: Clay, n8n or Zapier, Smartlead, Instantly or Apollo, HubSpot or Salesforce, data warehouses, and analytics platforms. You've made real builds in these tools, not just demos. * Have 2–5 years of experience in GTM engineering, marketing engineering, growth engineering, or technical demand gen. B2B SaaS is a plus, not a requirement. * Have commercial instinct. You think in terms of pipeline generated and meetings booked, not workflows automated. You can read a sequence and tell us why it's underperforming. * Don't just execute the playbook — you question it, find the gaps, and build something better. * Think creatively about lead generation: you've used data in non-obvious ways, surfaced signals others missed, or built infrastructure that opened up channels your team wasn't running. * Are energized by ambiguity. You'd rather ship a working v1 and iterate than wait for a perfect spec. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems. What you'll do • Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability), • Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization, • Design and build end-to-end data pipelines to support large-scale production usage, • Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions, • Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies, • Deploy and monitor models in production, ensuring reliability, scalability, and data quality, • Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutionsWhat we're looking for, • PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications, • Proficient programming skills in Python and SQL, • Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models, • Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization, • Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling), • Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow), • Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description You will play a key role in shaping how data flows across Uncommon Schools, helping teams make better decisions that directly impact students and communities. As a Senior Data Engineer, you’ll design and build the systems that connect our applications and data warehouse, ensuring data is accurate, accessible, and reliable. You’ll partner closely with teams across Data, IT, and the organization to translate complex needs into scalable solutions. This is a highly collaborative role where your work will strengthen how we use data to drive outcomes and continuously improve how we operate. Responsibilities Data Integration & Architecture • Design end-to-end data pipelines and integrations aligned to organizational goals, • Build and maintain APIs to enable seamless data movement across systems, • Transform and connect data across applications and the data warehouse while maintaining data integrity, • Provide advanced support for data integrations and partner with IT and Product teams to resolve issues, • Guide implementation of new integrations and support systems post-deployment, • Select and implement tools that support integration and data infrastructure needs, • Partner with stakeholders to understand needs and translate them into technical solutions, • Communicate complex concepts clearly to support strong decision-making, • Mentor team members and support adoption of best practices and coding standards, • Monitor integrations to ensure accuracy, reliability, and security, • Maintain documentation and a centralized view of data integrations, • Support development of governance frameworks for data management, • Contribute to long-term enterprise architecture planning and technical directionQualifications Required • 5+ years of professional experience in data engineering, analytics engineering, or a closely related field, • Deep, hands-on experience with dbt (data build tool), including building, testing, and maintaining production-grade data models (resumes without dbt experience will not be considered), • Strong proficiency in SQL and at least one programming language (e.g., Python), • Experience designing, building, and maintaining end-to-end data pipelines, including orchestration (e.g., Apache Airflow or similar tools), • Demonstrated experience with data modeling, including the ability to translate business needs into scalable, well-structured data models, • Experience owning data systems or projects end-to-end (scoping, designing, building, and maintaining solutions), • Experience working across systems and building integrations between platforms, with the ability to identify and recommend improvements across data flows, • Experience contributing to team-based projects and collaborating with cross-functional stakeholders, • Demonstrated ability to mentor, coach, or support other engineers, whether formally or informally, • Experience with modern data orchestration tools, • Experience with AI-assisted or agentic coding workflows (e.g., leveraging LLMs or AI tools to accelerate development), • Experience designing or contributing to scalable data architectures across multiple systems, • Strong problem-solving skills with attention to detail, • Ability to manage multiple projects and prioritize effectively, • Clear communication skills across technical and non-technical stakeholders Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Compensation The full compensation range for this role is $120,700 to $142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Work Environment Manhattan-based role with in-office work three days per week. Benefit Highlights: • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts *A detailed list of all benefits is located HERE. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job DescriptionWho is BlueRock? BlueRock Therapeutics LP is a clinical stage cell therapy harnessing the power of cell therapy to create a pipeline of new medicines for people suffering from neurological and ophthalmic diseases. Two of our novel investigational cell therapies, bemdaneprocel (BRT-DA01) for the treatment of Parkinson’s disease and OpCT-001 for the treatment of primary photoreceptor diseases are clinical stage programs. BlueRock was founded in 2016 as a joint venture of Versant Ventures and Leaps by Bayer. Our culture is defined by the courage to persist regardless of the challenge, the urgency to transform medicine and deliver hope, integrity guided by mission, and community-mindedness with the understanding that we are all part of something bigger than ourselves. What Are We Doing? Our foundational science harnesses the ability to create and then direct the differentiation of universal pluripotent stem cells into authentic, functional cells that can be used as allogeneic cellular therapies to treat a broad array of diseases. We can also further engineer these cells, enabling them to produce enzymes, antibodies, and other proteins for additional therapeutic benefit. We are passionate about delivering on the promise of cellular and gene therapy, shaping the future of cellular medicine, and delivering new therapies to millions of patients with treatment options. We are seeking individuals who are collaborative, thrive in a fun and dynamic culture, and are steadfast in the commitment to advance cutting-edge cellular therapies to impact patients’ lives. BlueRock Therapeutics is seeking a highly motivated individual to join our In Vivo team in New York, NY. Under direct supervision, this individual will be an integral member of the In Vivo Research team and will assist with research activities to support the characterization of our cellular therapies in animal models. Individuals in this role are expected to have prior experience with animal handling and understand the importance of prioritizing animal welfare in a research setting. Key responsibilities include performing stereotaxic surgeries, tissue collection, and executing various behavioral assays coupled to histological analysis. The candidate should be comfortable working independently and exhibit excellent time management and record keeping skills. This is an exciting opportunity to contribute to bringing a new class of cellular therapies to patients using our unique CELL+GENE platform. Responsibilities: • Perform stereotaxic surgery in mice and assist with surgical operations including surgical tool sterilization, animal prep and post-operative care., • Assist with mouse breeding colonies, including pairing breeders and separating mating cages., • Perform routine health checks (i.e. cage side assessment and recording weekly/monthly body weights) and necessary interventions (i.e. nail trimming, adding wet food or euthanasia)., • Conduct and support various behavioral assays in mouse coupled to behavioral scoring/analysis., • Assist with drug dosing via various routes of administration (i.e. IP, PO, SC)., • Perform cardiac perfusions and tissue collection., • Perform tissue processing (cyrosectioning) coupled to various immunohistochemical techniques., • Perform image acquisition by microscopy (widefield, confocal)., • Maintain accurate records of animals., • Present scientific data to peers at internal and external platforms., • Analyze and document experimental data in a timely and accurate manner., • Prepare and follow standard operating procedures and experiment plans., • Strict adherence to animal welfare protocols and humane treatment of research animals, • Adherence to biosafety measures, use of Personal Protective Equipment, and disinfection of incoming materials., • This position requires the employee to be on-site at least 5 days/week due to hands-on laboratory work., • This position requires occasional compensated overtime on the weekend., • Contributes to project and team results by generating high-quality, reliable scientific data that informs decision-making., • Demonstrates strong laboratory practices, shares knowledge with peers, and contributes to a collaborative and inclusive team environment., • Builds technical credibility and positively influences team effectiveness through preparation, communication, and consistency in the lab.Minimum Requirements:, • Research Associate II: Bachelor’s degree and a minimum of 2 years OR Master’s degree and 0+ years of relevant professional experience., • Must have at least 2 years of experience handling/working with mice in a laboratory setting., • Candidates with neuroscience-related experience (e.g., intracranial injections, cardiac perfusions, and drug dosing) will be given priority consideration., • Excellent organizational skills, attention to detail and time management skills in an extremely fast-paced environment with changing priorities., • Knowledge of good documentation practices required in a preclinical environment is desirable; ability to independently draft standard operating procedures preferred., • Excellent communication and interpersonal skills., • Comfort using various software programs including Microsoft Office (Word, Excel, PowerPoint), documentation management software (SharePoint, Benchling), and statistical analysis software is ideal.

Job Description Job Title: Principal Consultant, Data Work Style/ Location: Onsite, Washington DC Metro or New York, NY Type: Full-Time, USC and GC Status Accepted Sector: Data, AI & Analytics Target Salary: Competitive Position Overview BizFirst is supporting our client in identifying a Principal Consultant to lead data and AI engagements across a broad mix of industries and platforms. This is a senior, hands-on role for someone with 10+ years of experience who wants to own customer relationships, lead multi-stream delivery, and help shape a growing practice. Principal Consultants run their engagements. You’ll have direct access to client executives and data leadership, set technical direction for delivery teams, and decide how the work gets done. A growing portion of the practice sits at the intersection of data and generative AI, helping customers build agentic workflows, semantic layers, and LLM-ready data foundations. Our client is a fast-growing global data and AI consultancy with operations across three continents and 140+ consultants serving 70+ enterprise clients. They’ve built a consultant-first culture with a proprietary learning academy, paid certifications, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The US office combines the credibility of an established global brand with the energy of a New York startup. Your Career, Accelerated This is a senior role with real ownership. You’ll run engagements end-to-end, set the technical direction, and make decisions close to the ground where they can make a difference. You’ll work across a wide range of verticals and platforms, partner with alliance teams at Snowflake, Databricks, and Google Cloud to shape new work, and help build the playbooks, reference architectures, and learning academy modules that the next generation of consultants will learn from. What You'll Do • Own the customer relationship. Run multi-stream programs with direct access to client executives and data leadership, and make the calls that move the work forward, • Grow the account. Partner with business development, sales engineering, and Snowflake, Databricks, and Google Cloud alliance teams to scope new work, shape proposals, and expand existing engagements, • Deliver hands-on. Ship production-grade data platforms, pipelines, and AI workflows alongside consultants and senior consultants. Delivery at this level is hands-on, nothing gets handed off and forgotten, • Lead the team. Set technical direction for delivery teams of three to six consultants, break work into clear streams, unblock your engineers, review their code and designs, and raise the bar through your own contributions, • Shape the practice. Contribute to playbooks, reference architectures, and delivery patterns; mentor Senior Consultants moving toward Principal; and author the learning academy modules you wish had existed earlier in your career Tools & Tech Stack • Languages: SQL (lots of it), Python, Spark, • Data Platforms: Snowflake, Databricks, BigQuery, Microsoft Fabric; breadth across more than one is a plus, • Transformation & Orchestration: dbt, Airflow, Dagster, Prefect, • Ingestion & Streaming: Fivetran, Airbyte, dlt, Kafka, Kinesis, or homegrown pipelines, • Cloud: GCP, AWS, Azure, • Governance & Catalog: Unity Catalog, Snowflake Horizon, Microsoft Purview, • GenAI & ML: Snowflake Cortex, Databricks Mosaic, Vertex AI; RAG, semantic search, agentic workflows, and LLM-in-the-loop systems, • BI & Viz: Power BI, Tableau, Looker What We're Looking For This is a senior role, so we’re looking for someone with deep technical chops, a track record leading multi-stream delivery, and the judgment to run customer relationships at the executive level. Depth in many of these areas is what we’re after: • Located in Washington DC Metro or New York, NY, • 10+ years in data engineering, analytics engineering, or data platform consulting, • Track record leading multi-stream delivery on complex data and analytics programs, • Strong SQL fundamentals and data modeling depth (Kimball, Inmon, Data Vault, whatever your flavor), plus solid grounding in data engineering principles like data timelines, cleaning, and pipeline engineering, • Deep hands-on experience with modern cloud data platforms (Snowflake, Databricks, BigQuery, or Microsoft Fabric) and production ELT/streaming environments, • Working knowledge of data lakes, including when to use them and how to play to their strengths, • Hands-on experience with dbt and modern orchestrators like Airflow, Dagster, or Prefect, • Experience designing for lineage, access control, and cost efficiency from day one using tools like Unity Catalog, Snowflake Horizon, or Microsoft Purview, • Comfort working directly with client executives and data leadership, shaping proposals, and partnering with sales engineering and platform alliance teams, • Familiarity with classical ML and modern generative AI patterns including RAG, semantic search, agentic workflows, and LLM-in-the-loop systems, • Experience working with BI and data viz tools such as Power BI, Tableau, or Looker, • A hands-on delivery mindset, this role codes, reviews designs, and unblocks the team, it doesn’t hand things off and hope for the best, • A natural problem solver who stays curious, adapts quickly, and wants to build a better consultancy based on empowerment, autonomy, and doing right by the customer These aren't requirements, but if any of these describe you, we'd love to hear about it: • Certifications: Snowflake SnowPro, Databricks Data Engineer Professional, Google Cloud Professional Data Engineer, Microsoft Fabric Analytics Engineer Associate, and the like, • Hands-on experience building agentic workflows, semantic layers, or LLM-ready data foundations in production, • Industry depth in financial services, media and ad tech, gaming, freight and logistics, trading, or the public sector Perks & Benefits Our client offers stock standard benefits that everybody wants, plus a few extras: • Competitive salary, • Medical, Dental, and Vision plans picked for both young single professionals and those with families to support, • 401(k) match, dollar-for-dollar, up to 4% of your salary, • Flexible paid time off designed for adults, take time as you need it (and you do need at least two weeks off, preferably contiguous, per year), • Top-of-the-line hardware, optimized for horsepower or mobility (we’re all on Macs), • Proprietary learning academy with 100+ custom modules. At Principal level you’ll help shape the curriculum, authoring modules and mentoring peers through the topics you know best, • Certification stipend for the platforms you deliver on About BizFirst BizFirst is a recruiting firm built for companies that got tired of being account #47. We place talent across AI and data, GovCon, finance and operations, and telecom infrastructure. Every search is led by a senior Delivery Lead managing just 3 to 4 clients total. The result: candidates in days, a single point of contact from kickoff to placement, and a 94% retention rate past 90 days.

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? * Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. * Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. * Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. * Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. * Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements * 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. * Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). * Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. * Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. * Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stackSpark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

Job Description As our first full time embedded software engineer you will drive development of our robot software. In this role you will contribute to a wide range of outcomes including: • Increasing on-device or near real-time capabilities that deliver an improved operator experience and enable fast turn-around for certain use cases like storm response., • Features to support robot reliability at scale such as development of additional logs and diagnostic capabilities., • Optimization of our field to cloud data pipeline to support large base of end-users and faster turn-around times., • Core robot software development experience including upgrades to our operating system and deployment of upgrades to the fleet., • Support hardware evolutions and changes, such as integration of new sensors. Tech stack Linux, Python, C++, ROS2

Job DescriptionSalary: 140,000 - 180,000 Forward Deployed Data Engineer Chassi Overview PE-backed companies have one priority: a successful exit. Three strategies determine whether they achieve it; Customer Growth & Retention, EBITDA Maximization, and Board-Level Alignment. Chassi builds the operating view that moves all three; modeled directly from your systems of record, delivered in days, and kept current through the hold period. We are a unique team of individuals from all walks of life; from the elite ranks of SEAL Team 6 to the realms of education and construction. We know that start-ups aren't for everyone; they demand a special kind of person who can voluntarily navigate the uncertainty and ambiguity. At Chassi, we don't just tolerate this uncertainty; we thrive on it, pushing our boundaries every single day. We seek exceptionally talented individuals who possess this "Chassi mindset" to join us in our relentless pursuit of groundbreaking solutions. The Opportunity Were looking for a Forward Deployed Data Engineer to join our Solutions team and play a critical role in delivering value to our customers through the Chassi platform. This role sits at the intersection of data engineering and client delivery. Youll work directly with customer data, diagnosing and resolving pipeline issues, extending our platform to support new systems, and partnering closely with both the Solutions and Product Engineering teams. Youll also be embedded in client engagements, quickly understanding business objectives and ensuring our data pipelines and outputs align with the value weve promised. We are only considering full-time, direct hires at this time (no contractors, agencies, or third-party submissions). This is a hybrid role based in New York City, with regular in-office collaboration expected. We are not able to provide relocation for this role. What Youll Do • Build and adapt data pipelines to support new customer source systems and evolving use cases., • Translate customer data into usable, reliable outputs that empower Solutions Managers to perform analysis and deliver., • Triage, investigate, and resolve data pipeline exceptions and inconsistencies, enabling the team to confidently use customer data within the Chassi platform., • Partner with backend engineers to identify root causes, prioritize fixes, and contribute to scalable, generalized solutions. What You Bring • 37 years of professional experience in data engineering, analytics engineering, or a similar technical role., • Proficiency with at least one data scripting language (e.g., Python)., • Experience with a preferred object-oriented programming language such as C#, C++, or Go., • Experience in troubleshooting data issues and working with imperfect or incomplete datasets., • Proven ability to design and implement data pipelines in production environments., • Strong understanding of database systems (SQL and NoSQL)., • Experience with data integration tools, APIs, and cloud-based data platforms., • Excellent problem-solving skills and ability to work in a fast-paced, evolving environment., • Excellent communication skills with the ability to work directly with client-facing teams., • Must be authorized to work in the United States without sponsorship. Nice-to-Haves • Background in data or mathematical modeling (statistical, predictive, or systems modeling experience a plus)., • Experience in a startup or high-growth environment where context and requirements evolve quickly., • Exposure to finance, SaaS metrics, or operational analytics use cases. How You Work • Youre curious and pragmatic; you dont over-engineer, but you dont cut corners that matter., • You communicate clearly with both technical and non-technical teams., • Youre energized by solving real problems, not just building in isolation., • You take ownership and follow through. Compensation • Salary Range: $140,000 $180,000, depending on experience, • Equity: You will have the chance to be an owner in Chassi and make a bet on yourself and the impact you can have on the company. Interview Process We aim to keep the process focused, transparent, and respectful of your time: Chassi is an equal opportunity employer. We welcome applicants of all backgrounds, identities, and experiences. That includes (but is definitely not limited to) race, gender, gender identity, sexual orientation, age, disability status, religion, nationality, or anything else that makes you,you. We care far more about what you can build, solve, and improve than where you came from or how your resume is formatted.

Job DescriptionGTM Engineer Location: Remote (Global) About Unframe Unframe partners with large enterprises to design and deploy production-grade AI systems. Our deals are complex, multi-threaded, and high impact. We sell to business and technical leaders who expect rigor, credibility, and measurable outcomes. We are scaling quickly and investing in the infrastructure behind our revenue engine. The Role We're hiring a GTM Engineer to build the systems that power our GTM motion and enterprise sales execution. You will design and implement the automation, tooling, and data infrastructure that turns GTM strategy into repeatable pipeline. You'll work directly with Sales Leadership, Enablement, Marketing, and Solutions to remove friction, increase selling time, and scale outbound in a thoughtful way. If you enjoy creating systems that make sales teams materially more effective, this role is for you. What You'll Own Automation & Systems • Design automations that eliminate manual work for AEs and SDRs, • Build and maintain integrations across Salesforce and adjacent GTM tools, • Improve lifecycle workflows that support complex deal cycles, • Build and optimize outbound workflows across CRM, sequencing, enrichment, and data tools, • Translate ICP and vertical strategy into account selection and prioritization systems, • Create scalable outbound motions that generate qualified enterprise pipeline, • Identify bottlenecks in pipeline creation and deal execution, • Build dashboards that surface leading indicators, • Work deeply in Salesforce and modern GTM tooling, • Use APIs, automation platforms, and light scripting where needed, • Evaluate new tools pragmatically, with scale and maintainability in mindWhat We're Looking For, • 3–6 years in Sales Ops, RevOps, Growth Ops, or a GTM Engineering-style role, • Experience supporting enterprise or complex B2B sales, • Proven track record building outbound or pipeline automation, • Strong CRM fluency (Salesforce preferred), • Experience with sequencing and enrichment platforms

Job DescriptionCareer Renew is recruiting for one of its clients a Staff AI Engineer - this is a fully remote role for US-based candidates, as long as they can work EST hours. Salary range: 175-250K USD yearly plus benefits and equity. building the Hyperliquid Agent Runtime. Senpi agents make real trades with real money 24/7, generating a continuous stream of decisions and outcomes across dozens of concurrent strategies. Today, our agents are effective but independent. Each one runs its own logic, and when one discovers a winning pattern, a human has to manually propagate that insight across the fleet. We’re hiring a Staff AI Engineer to make that process autonomous: build the intelligence layer where the fleet learns from itself and gets smarter with every trade. This is a production role, not a research role. The feedback loop is immediate — your work either makes the agents more money or it doesn’t. Every trade is a measurable outcome. What You’ll Own Learning & Optimization The fleet generates thousands of trading decisions per day, each with a measurable outcome. You’ll build the systems that turn this stream into compounding intelligence: * Design and implement the feedback loop that connects trade outcomes back to strategy improvement — signal selection, risk parameters, position sizing, and timing * Build the evaluation framework that quantifies which signals, market conditions, and agent configurations actually predict profitable trades versus which ones are noise * Develop automated strategy generation and testing — the system should explore new configurations, backtest them against real fleet data, and surface candidates for deployment * Detect shifts in market conditions and adapt fleet behavior accordingly — what works in trending markets fails in choppy ones, and the system should recognize the difference Autonomous Fleet Intelligence Build the higher-order agents that manage and improve the fleet without human intervention: * Automated fleet monitoring that catches configuration errors, degraded performance, and infrastructure issues across all agents continuously * Performance attribution that decomposes every trade into its component drivers — was the signal right, was the execution efficient, was the exit well-timed — and feeds those insights back into strategy design * Fleet coordination that manages concentration risk, capital allocation across strategies, and the balance between exploration (testing new approaches) and exploitation (scaling what works) Model & Inference Own the path from external LLM dependence to Senpi-controlled intelligence: * Evaluate and implement the right model hosting strategy — from proxied external models with full telemetry, to fine-tuned domain-specific models on owned infrastructure * Build the telemetry and data capture layer that makes learning possible — every decision, every evaluation, every outcome structured and queryable * Determine whether and how domain-specific training (on trading data, market patterns, and fleet performance) outperforms general-purpose prompted models — then build the pipeline to make it happen * Optimize inference for the specific demands of autonomous trading: many concurrent agents, structured decision outputs, cost-efficient at scale What We’re Looking For Must Have * ML engineering in production — you’ve trained, deployed, and maintained models that run in production and directly impact business outcomes. Shipped systems, not just notebooks * Reinforcement learning or online learning experience — you understand the practical challenges of learning from real-world outcomes rather than static datasets. You’ve built systems where model outputs generate actions that generate feedback that improves the model * Strong software engineering — Python is your primary language, comfortable with Go or TypeScript for production services. You build data pipelines and distributed systems, not just models * You’ve closed the loop — the single most important qualification. You’ve built a system where predictions lead to actions that generate outcomes that feed back into better predictions. End-to-end, in production, with measurable improvement over time Strong Plus * Experience with financial ML — signal generation, alpha research, portfolio optimization, or execution optimization * LLM fine-tuning and serving — PEFT/LoRA, vLLM, TGI, or custom inference pipelines in production * Multi-agent systems — designing systems where autonomous agents coordinate, compete, or learn from each other * Onchain data or DeFi protocol experience * Background in domains where agents make sequential decisions under uncertainty — robotics, autonomous systems, game AI What This Role Is Not This is not an ML research role where you publish papers and hand off models to an engineering team. You own the full stack from data pipeline to deployed model to production outcome. This is also not a prompt engineering role. While today’s agents use prompted LLMs, the trajectory is toward learned behavior — agents that improve through experience, not through better instructions. Compensation & Package Compensation * Total starting all-in comp: ~$450k * Base salary: $175,000–$250,000 USD (location and experience dependent) * Equity: ~1% initial stock grant, valued at $230,000 in last round, projected to double in next 6 months * Plus: Team-wide eligibility for salary increases and bonuses tied to revenue and usage * Plus: Token upside: pro-rata participation in Senpi’s token launch (planned for 2026) This role is meaningfully ownership-driven, with upside tied directly to company success.

Job Description Overview We are on a mission to ensure everyone has access to medical expertise, no matter where they are. Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up. Corti exists to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again. There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both. Why Corti? Corti is the frontier lab for clinical-grade AI. We build world-leading models and infrastructure that power healthcare's most ambitious software - from EHR vendors and virtual care platforms to the health systems that care depends on. Today, Corti serves over 100 million patients annually, including the NHS. Our flagship model, Symphony, is trained and validated on real clinical data from real patient interactions, and powers the clinical and administrative work that healthcare runs on. We power the builders who are redefining how healthcare works, from startups creating new patient experiences to enterprises modernizing the systems that care depends on. If you believe that AI purpose-built for medicine will define the next century of healthcare, you belong at Corti. The Role We are seeking a technically curious, execution-focused Growth Marketer to sit at the center of Corti’s growth engine. This role is for someone who can read an API doc, spin up a landing page, and write a launch post that developers actually want to read. You are technical enough to understand what we build, creative enough to make people care, and pragmatic enough to ship instead of overthinking. You will own the surfaces and campaigns that drive developer awareness, acquisition, and activation. That includes product launches, landing pages, demand generation, developer-facing content, and growth analytics. You will move fast across channels and formats, with real ownership over what ships and how it performs. What you’ll be doing: Product launches and landing pages * Design and build landing pages, launch assets, and promotional materials (often coding or prototyping yourself) * Collaborate on the end-to-end build and launch process for new products, features, and platform updates * Coordinate cross-functionally with product, engineering, and design to bring launches to market * Write launch content and developer-facing announcements that inspire our audience to dive in Demand generation * Plan and execute campaigns that drive signups, activations, and pipeline across paid, organic, and owned channels * Run conversion rate experiments across the signup and activation funnel * Manage paid campaigns and track performance against acquisition and activation targets Content and SEO * Produce developer-facing content for blog, social, and community channels * Build and execute an SEO strategy targeting developers searching for healthcare AI tooling * Write technical blog posts, guides, and tutorials that position Corti as the default platform for healthcare AI development * Create sales enablement assets, templates, and collateral as needed Analytics and reporting * Build dashboards and reports to track campaign performance, funnel metrics, and growth KPIs * Analyze user behaviour to identify activation patterns and conversion opportunities * Report regularly on what’s working, what’s not, and where to invest next * Use data to prioritise experiments and allocate resources across channels What you bring: You may have been a growth marketer at a developer tools company, a product marketer at a PLG SaaS business, or a growth generalist at a Series A-C startup who touched everything from paid ads to SEO to rapid prototyping. Whatever your path, you have marketed a technical product to a technical audience and are comfortable building things yourself rather than waiting on others. Technical aptitude * Comfortable reading API documentation and understanding how developer products work * Able to build or “vibe code” landing pages, simple tools, and prototypes (or excited to learn) * Familiar with developer workflows, tooling, and PLG motions * Not a software engineer, but the kind of person who builds side projects, tinkers with AI tools, and stays close to the product Marketing execution * Experience running campaigns across paid, organic, email, and content channels * Track record of shipping landing pages, launches, and growth experiments quickly * Comfortable with analytics tools like Google Analytics or Posthog and building reports that drive decisions * Strong writing skills, particularly for technical and developer-facing audiences Builder mindset * 2-4 years of experience in growth, product marketing, or a generalist role at an early-stage tech company * Comfortable operating with minimal structure and defining the playbook as you go * High output: you ship fast, learn from results, and iterate * Genuine interest in AI and healthcare Tools we work with: * Webflow * Lovable * Cursor * Claude * PostHog * Google Analytics What a day looks like: On any given day, you might push a new landing page live for an API feature launch, review funnel metrics to diagnose a drop in activation, draft a blog post on a new agent capability, and jump on a call with product and engineering to scope the next release. We don’t care about the exact title on your CV. What matters is that you are technical enough to understand what we’re building, fast enough to ship without waiting for permission, and someone your friends might describe as “one of the smartest people they know.” Life at Corti * You will work closely with the Growth, Product, and Engineering teams * High autonomy, low bureaucracy, and real ownership * Direct impact on how developers discover and adopt Corti’s platform * Equipment provided by Corti * Working in our New York office Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world. 🤝 Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status. At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying! Compensation Range: $120K - $155K

Job Description YOOBIC is the leading AI powered frontline employee experience platform. While most tech companies build for desk based teams, we build the operating system for the deskless workforce. The 80 percent of global employees who power retail and hospitality. Our mobile first platform helps frontline teams communicate, learn, and execute better every day. By combining operational data, Predictive Analytics, and AI, we help the world’s biggest brands turn frontline execution into a competitive advantage. Trusted by 300 plus global brands including Michaels, Mattress Firm and National Vision. YOOBIC is scaling fast. Backed by a 50 million dollar Series C and investors including Highland Europe, Felix Capital, and Insight Partners, we are building the future of frontline work. What we are looking for. We’re looking for an ABM leader with a GTM engineer mindset to join our marketing team — someone who deeply understands the ABM motion in B2B SaaS and has a proven track record of building programs that generate enterprise pipeline. This is a true strategist + operator role. You will set the ABM and pipeline strategy, and lead a significant portion of the execution yourself. You won’t operate alone: you’ll partner closely with Content, Events, Product Marketing, and the broader marketing team. But you should be comfortable rolling up your sleeves, building workflows, launching campaigns, and optimizing programs hands-on. You’re excited by all the “cool new kids” in marketing tech and comfortable jumping into the tools to build, test, and improve. You combine ABM expertise with systems thinking, technical curiosity, and strong pipeline accountability. We sell to some of the most exciting brands in global retail across fashion, luxury, grocery, specialty, C-store, and QSR. Our buyers are retail operations, innovation, and communications leaders. They are not typical tech buyers, which makes the engagement motion dynamic and nuanced. You’ll operate at the intersection of Marketing, Sales, and RevOps, designing how signal turns into engagement, engagement into meetings, and meetings into pipeline. You are part strategist, part builder, with a strong appreciation for long sales cycles and complex buying committees. What You’ll Own * Global ABM Strategy & Execution * Design and scale 1:1, 1:few, and 1:many ABM programs globally * Execute multi-channel plays across digital, outbound, website personalization, paid media, events, and sales sequences * Define ICP segmentation and tiering using firmographic, technographic, behavioral, and intent data * Build persona-based messaging across buying committees * Align closely with Sales on account plans, engagement strategy, and pipeline targets * You’ll set the strategy and personally drive key programs forward in partnership with Content, Events, and Product Marketing. GTM Systems & Marketing Technology Orchestration * As an ABM leader with a GTM engineer mindset, you think in systems and enjoy building them. * Design workflows across Claude and tools like Seam.ai, HubSpot, Influ2, Salesforce, and intent platforms * Build trigger-based programs (intent surges, job changes, buying committee engagement) * Work with our Rev Ops team to develop routing logic and alert systems for BDRs and AEs * Partner with RevOps on scoring, enrichment, and automation * Build dashboards tracking engagement-to-pipeline conversion * Continuously test and adopt emerging GTM tools * You don’t just use tools — you understand how they connect to drive revenue. You will own US pipeline creation. * Set and manage quarterly and monthly pipeline targets * Align outbound with ABM campaigns and intent signals * Lead pipeline reviews and address engagement gaps * Ensure marketing insights translate into sales conversations * You understand how outbound fits into an integrated ABM ecosystem and how to empower BDRs with the right data and context. What We’re Looking For Experience: * 5–7+ years in B2B SaaS marketing * 3+ years building and executing enterprise ABM programs * Proven success generating qualified pipeline through ABM * Strong hands-on experience with ABM platforms (6sense, Demandbase, UserGems), and other GTM tools - HubSpot, Salesforce, Gong, Clay Profile: * ABM leader with a GTM engineer mindset * Comfortable owning strategy and executing hands-on * Experience selling into global markets * Deep understanding of ABM in B2B SaaS sales environments * Highly technical and curious about emerging GTM tools * Comfortable building workflows between Claude and tools like Salesloft, UserGems, HubSpot,Salesforce, and enrichment tools * Data-driven and focused on engagement-to-pipeline performance * Strong cross-functional collaborator across Marketing, Sales, and RevOps * Confident people manager with a builder, test-and-learn mentality * Comfortable in a fast-paced entrepreneurial environment What We Offer: * Hybrid working if based in NY (3 days a week in the office Monday, Tuesday and Thursday with lunch provided on Monday & Thursday * Remote if based outside of NY * 20 days PTO + 8 public holidays (plus 3 floating holidays to choose from) * Medical cover and EAP (Employee Assistance Program) * Company covered Life insurance coverage * Company covered long term disability coverage * An amazing 401k contribution - We contribute even if you don’t! * ADP discounts for a whole host of items (including electronics, Childcare, travel, etc…) * Free online HIIT sessions + gym discounts The base salary range for this position is $135,000–$145,000 per year. This represents our good faith estimate of the compensation at the time of posting. Final compensation will be determined based on experience, skills, and location. We are an equal opportunity employer that values diversity and inclusion. We are committed to equal employment opportunities and we want to ensure that our recruitment process is accessible to everyone. If you have a disability or additional need that requires reasonable accommodations during the process please do not hesitate to let us know. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job DescriptionSr. Data Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Syllo Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. We are a mission-driven venture and recognize the enormous societal benefits that will result from a legal system that works better for everyone. We are seeking a skilled and fast-moving Senior AI Engineer to join our team. This role is focused on the practical application of AI, specifically leveraging Large Language Models (LLMs), to build robust, scalable, and impactful user-facing features. This is an engineering-centric role—you will be an expert at building and integrating production systems, not primarily a research scientist. The Responsibilities • System Design & Implementation: Design and build high-performance, production-level AI-powered features and services, with a focus on reliability and scalability., • Develop robust engineering solutions to mitigate the inherent unreliability of LLMs. This includes implementing effective guardrails, validation pipelines, error handling, caching, and failover/fallback mechanisms to ensure a high-quality user experience even when the model misbehaves., • Focus on optimizing latency, throughput, and cost efficiency for all AI-powered services., • Serve as an engineering expert in integrating models and data feeds with existing business logic and APIs., • Engineering Best Practices & Quality:, • Champion and enforce high standards for code quality, architectural design, and system documentation., • Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the robustness of AI features before and after deployment., • Participate actively in peer code reviews to maintain a high bar for engineering standards across the team., • Feature Delivery & Ownership:, • Take ownership of the full lifecycle of new AI features, from initial design and prototyping to testing and deployment into the production environment., • Own the end-to-end development of new features, including API design, integration with front-end services, persistent data storage, and comprehensive monitoring/alerting., • Work closely with product managers and other engineers to scope, estimate, and deliver features on a fast iterative cycle., • Pipeline Enhancement: Quickly onboard onto our existing codebase to understand, maintain, and significantly enhance existing data and feature pipelines, improving their efficiency and robustness., • Tooling & Velocity: Embrace and utilize AI-powered developer tools (such as GitHub Copilot) to maximize your efficiency, demonstrate a commitment to continuous learning, and set a high bar for engineering velocity. Qualifications • Deep Engineering Fluency & Quality Focus: Proven ability to build and deploy complex, high-quality software systems with an emphasis on maintainable code, rigorous testing, and engineering best practices., • Python Proficiency: Fluent in Python and its ecosystem for backend services and data processing., • System Design Expertise: Strong grasp of system design principles, including distributed systems and API design., • Demonstrated ability to design scalable distributed systems, including expertise in microservices architecture., • Codebase Agility: Excellent ability to read, understand, and navigate an unfamiliar codebase quickly., • Fast Learner: A demonstrable history of rapidly acquiring new technical skills and applying them to solve business problems. Great to Have • AI/ML Feature Experience: Experience directly building, shipping, and maintaining AI-powered products, agents, or intelligent features in a commercial setting., • LLM/Generative AI Exposure: Familiarity with the unique engineering challenges of integrating Large Language Models into a production environment., • Hands-on experience with LLM operationalization challenges (MLOps for LLMs), including prompt engineering, working with vector databases, RAG systems, or managing context windows., • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for deploying and managing services. United States - Remote Pay Range$170,000—$220,000 USD

Job DescriptionSalary: 135,000.00-185,000.00(USD) What we bring: • Pay & ownership — Competitive salary with generous equity grants., • Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits., • Unlimited PTO — Take the time you need to recharge., • Dinner on late nights — Working late? Dinner is on us., • Fitness stipend — Monthly support for your health and wellness., • Tools of the trade — Any equipment you need to do your best work., • Commute perks — Citi Bike + train benefits. ✅ Traits to prioritize • Need to have some spike of excellence (top school, great company), • Technical background (CS degree or sold technical products), • Startup experience or high-growth environment exposure, • Generalist mindset willing to wear multiple hats, • Companies, • devtool startup as first GTM hire, • technical startups, • Datadog, • Grafana, • Pure SDRs focused only on outbound prospecting, • Experience at technical companies like Datadog, Grafana, or Sentry This is a high-impact builder role at the center of scaling go-to-market. You'll own the operating system behind GTM — strengthening systems, automations, reporting, and sales enablement — while running growth experiments that directly drive pipeline. This is not a passive ops role. Its for someone who likes building infrastructure, shipping projects quickly, and operating in ambiguity. What You'll Do * Own and optimize core GTM systems across CRM, enrichment, sequencing, and automations * Maintain clean, accurate pipeline data and strong CRM hygiene * Build reporting dashboards for pipeline health, conversion, and outbound effectiveness * Partner closely with Sales to surface account insights, prep materials, and improve rep productivity * Run growth experiments end-to-end (events, partnerships, outbound initiatives) from hypothesis to iteration * Document playbooks and create repeatable workflows to scale the team What Were Looking For * 3+ years in a high-ownership GTM, Strategy & Ops, BizOps, Growth, or similar role * Experience operating in technical startup, VC, consulting, or founder environments * Strong analytical mindset — comfortable defining metrics and making decisions from imperfect data * Hands-on experience with modern GTM tooling (e.g., HubSpot, Notion, Clay) * Systems thinker who enjoys building scalable workflows * Strong written and verbal communicator * Ability to manage ambiguous projects from definition to execution Bonus * Direct RevOps / Sales Ops / Marketing Ops experience * SQL or light scripting for reporting and automation * Working literacy of software engineering or cloud infrastructure * Prior experience at a devtools company * Experience running events or community initiatives * Computer Science degree is a plus This is an opportunity to help build the GTM engine from the ground up at a highly technical startup — ideal for someone who wants real ownership and measurable impact. Powered by JazzHR VMKdsXvuSq

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $153,000 - $179,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionAbout Clarion At Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care. We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication. We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered. Why Join Us? * Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup. * Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients. * Cutting-edge tech frontier: You'll harness the latest generative AI models to craft conversational agents that transform healthcare communication, while driving innovation to push these technologies beyond their current limits. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage- we move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Prospect and qualify mid-market to enterprise opportunities by identifying and engaging high-value targets across health systems, specialty groups, and value-based care organizations * Own the full sales cycle by leading strategic deals from initial outreach through close, driving high-quality opportunities and engaging directly with executive decision-makers * Run sharp discovery using consultative value selling to uncover key operational challenges and identify where Clarion can deliver the most impact * Lead high-impact demos that clearly map Clarion's capabilities to customer pain points and demonstrate measurable ROI * Sell strategically to the C-suite by building consensus across stakeholders and leading complex, value-based negotiations * Drive predictable revenue through disciplined pipeline management and accurate forecasting with clear visibility into risks and next steps * Build the pipeline from outbound efforts, supplementing inbound leads sourced from Growth Associates * Collaborate cross-functionally with our Growth Lead to structure strategic pilots and ensure alignment on use cases and value delivery Requirements * 2-3 years of enterprise SaaS experience owning complex sales cycles from discovery to close, ideally in healthcare; experience with Conversational or Voice AI is a plus * Proven prospecting ability with track record of generating pipeline through cold calls, LinkedIn outreach, and email campaigns to executive decision-makers * Strong value-based selling skills with ability to sell to the C-suite, align cross-functional stakeholders, and lead multi-threaded deals * Experienced in tying product impact to business outcomes, negotiating based on ROI, and closing high-retention 6-figure contracts * Skilled at navigating legal and procurement processes while structuring strategic pilots that prove value * Highly organized in managing parallel deals, owning next steps, and maintaining clean forecasts and pipelines * Proficient in sales tools and methodologies, knows how to run an efficient sales process * Excited to work from our NYC office 5 days a week You are a good fit if * You’re strategic and forward-thinking, driving deals with intent and alignment on value. * You’re curious and customer-focused, mapping Clarion’s impact to each organization’s business goals. * You move with urgency and discipline, managing a clean pipeline and clear priorities. * You communicate with confidence, tailoring messages and leading with impact. * You’re mission-driven, motivated by improving patient access and supporting care teams. What we offer * Direct mentorship: Work closely with our founding team and experienced sales leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunches * Team culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC team * Impact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they need Interview Process At each stage, we decide within 24hrs and update you shortly after: * Intro Call (20 min) [Virtual]: Quick chat about your sales experience and what draws you to Clarion. * Discovery (45 min) [Virtual]: Live role-play simulating a discovery call with a healthcare executive. * Take-home Exercise: Create a strategic account plan for a target provider segment. * Final Rounds (3 hrs) [In-Person]: Visit our NYC office to meet the team, shadow a call, and present your strategy. If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $250K - $300K

Job Description Location: New York City Industry: AI / Recruiting / HR Tech Compensation: Competitive salary + meaningful early equity About the Company Talentpluto is an early-stage AI startup building an autonomous recruiting platform that rethinks how companies hire. Our AI agents conduct candidate screening calls, engage in real-time conversations with hiring managers, and orchestrate complex recruiting workflows using cutting-edge large language models, voice AI, and workflow automation. We ship quickly with real users, learn from feedback, and optimize for simple, pragmatic solutions. We operate with high trust, high ownership, and a strong focus on building tools that meaningfully improve how hiring gets done. The Opportunity We’re hiring a Founding Engineer to help define Talentpluto’s technical direction and own major parts of the product and stack. This role is ideal for someone who enjoys building products end-to-end, working closely with founders and customers, and shaping both the architecture and the culture of an engineering organization from day one. You’ll design, build, and ship features across the stack, from data models and APIs to polished UI. You’ll also set the foundations for our infrastructure, processes, and best practices, and play a key role in hiring and onboarding future engineers. This is a broad, high-impact role for someone who wants ownership rather than a narrow “tickets” lane. Responsibilities • Design, build, and ship features across the stack, from backend data models and APIs to user-facing interfaces., • Collaborate directly with the founders and customers to turn fuzzy requirements into simple, shipped solutions., • Help choose core tools, frameworks, and architectural patterns for the platform., • Set up and maintain foundations for infrastructure, including CI/CD, observability, testing, security, and performance baselines., • Establish engineering best practices such as code review norms, testing standards, and release processes., • Contribute to building pipeline management UIs, multi-tenant systems, and integrations with payments and external services., • Help interview, hire, and onboard future engineers and contractors as the team grows., • Troubleshoot and resolve complex production issues, and contribute to documentation and internal tooling where needed. Requirements You may be a strong fit if you: • Have experience shipping real products end-to-end at a startup or small, fast-moving team., • Are comfortable working across the stack (frontend, backend, databases, and occasionally mobile)., • Enjoy owning problems, not just tasks, and care deeply about user outcomes., • Are comfortable working with ambiguous specs and iterating directly with founders and users., • Value clean, pragmatic engineering: tests, clear abstractions, and simple designs over unnecessary complexity., • Communicate clearly, give and receive feedback well, and collaborate effectively with non-engineers., • TypeScript or JavaScript, • React and Next.js (including App Router and Server Components), • Full-stack development across frontend, backend, and databases, • AI and LLM integrations (e.g., OpenAI, Anthropic, RAG, embeddings), • PostgreSQL and SQL, • Exposure to AI, data, infrastructure, devtools, or voice/audio systems, • Comfort with our stack: React, TypeScript, Next.js, Node, Drizzle ORM, PostgreSQL, Trigger.dev, Retell, Twilio/Telnyx, Upstash, Vercel or AWS, • Experience setting up analytics, experimentation, or data pipelines, • Prior work on developer tools, internal tools, or reliability-critical workflows, • Experience with Slack/Discord bots or other conversational interfaces, • Familiarity with testing frameworks (e.g., Jest, Playwright)

Job Description Position Description: A client of AlphaStaffHCM is seeking a new FPGA Design Engineer to join our Hardware team. You will work directly with a diverse team of experts including quantum scientists, optical, nanofabrication, hardware, FPGA, and embedded engineers. Together, you’ll develop prototypes and photonic-based products across multiple application areas including quantum computing, quantum intelligence, quantum remote sensing, quantum bio-imaging, and quantum cybersecurity. This is a unique opportunity to participate in the architecture design of multiple new FPGA projects in the pipeline, and to work closely with some of the brightest scientists and engineers in lithium niobate, photonic-based quantum technologies. If you enjoy the excitement of solving complex problems, creating realistic application quantum benefits, and working in a fast-paced, innovative environment, this could be the perfect role for you! Duties and Responsibilities: Develop,Design and implement real-time computational and digital algorithms and systems using FPGAs. Develop RTL code for use within multiple projects. Analyze and enhance efficiency, scalability, and stability of the system resources . Integrate multiple FPGAs and off-the-shelf hardware devices into our next generation quantum device architecture. Collaborate with cross-disciplinary teams to design and customize quantum systems with customers requirements/feedbacks Design, implement, simulate, and test the operation of the FPGA logic and systems Document architectures, test results in addition to source code Required Skills and Experience: 3-5 years of industrial experience in FPGA design Practical experience using HLS in FPGA design would be a HUGE plus. Expertise in Verilog/System Verilog Proficiency in RTL simulation (ModelSim,xSim etc.), and building testbenches to verify your design. Experience with Altera(Intel) or Xilinx(AMD) FPGAs and associated development tools Experience working with lab equipment such as oscilloscopes and logic analyzers. Experience/familiarity in/with digital hardware circuit design is preferred. Excellent communication skills (written and verbal) Collaborative teammate who is supportive of co-workers and contributes to problem solving Ability to work well in a fast-paced professional office environment and manage simultaneous tasks and deliverables Bachelor of Science in Electrical Engineering or Computer Engineering Required Masters of Science in Electrical Engineering or Computer Engineering Preferred Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: Description of the Team The IT Business Systems (GTM) team at CoreWeave owns the application stack that powers the end-to-end customer lifecycle — from lead to quote to cash. The team designs and operates systems that support a hyper-growth AI cloud business, partnering closely with Revenue Operations, Marketing Operations, Finance, Billing, and Customer Experience to deliver scalable, compliant, and automated workflows. About the role: As a Senior Salesforce Engineer, you will serve as a hands-on technical leader responsible for designing, building, and operating Salesforce solutions across Sales Cloud, Revenue Cloud / CPQ, and GTM integrations. You will work on high-impact initiatives including post-acquisition system integrations, implementation of a new usage-based billing platform, and enhancements across quoting, forecasting, and revenue operations. This role involves deep ownership of CPQ workflows as well as broader platform architecture and integrations with finance and GTM systems. You will partner cross-functionally with GTM, Finance, and IT leadership to deliver scalable, reliable solutions that support CoreWeave's continued growth. Who You Are: • 8+ years of Salesforce engineering and development experience, • Hands-on expertise with Salesforce Sales Cloud and platform technologies including Apex, Lightning Web Components (LWC), SOQL/SOSL, security model, and data model, • Experience implementing Salesforce Revenue Cloud / CPQ, including at least 2–3 full implementations or equivalent deep project exposure (products, pricing, quoting, approvals), • Proven experience building Salesforce integrations using REST/SOAP APIs and middleware (e.g., MuleSoft or equivalent), • Experience integrating Salesforce with billing or subscription platforms (e.g., Zuora, Chargebee, Metronome, or similar), • Strong understanding of quote-to-cash processes, including contract, entitlement, usage, invoicing, and revenue data flows, • Experience supporting marketing and revenue operations use cases such as lead routing, campaign attribution, pipeline management, and forecasting, • Solid understanding of scalable system architecture, large data volume handling, performance optimization, and security best practices, • Experience performing root cause analysis (RCA) and resolving complex production issues across integrated systems, • Experience working in modern SDLC environments including Git, CI/CD pipelines, code reviews, and release managementPreferred:, • Salesforce certifications (e.g., Platform Developer I/II, Application Architect, System Architect, CPQ Specialist), • Experience with M&A GTM system integrations, including org consolidation, data model alignment, and process unification, • Direct experience integrating Salesforce with usage-based billing platforms and supporting consumption-based pricing models, • Experience with subscription or usage-based pricing and downstream billing implications, • Familiarity with GTM data and analytics platforms supporting pipeline, ARR, NRR, and forecasting, • Experience working in regulated environments (e.g., SOX, SOC 2) with audit and compliance requirements, • You love solving complex system and integration challenges, • You're curious about scalable architecture, automation, and emerging technologies like AI in GTM systems, • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. As a Staff Software Engineer, you will play a key role in the entire engineering lifecycle from design, documentation, build, test and maintain our SmithRx product suite. You will advocate and bring best practices/methodologies, coding standards and large-scale system design perspectives to our team. We need our engineers to be versatile and driven, display leadership and ownership qualities, and be enthusiastic to take on new challenges as we continue to push technology forward. What you will do: • Focus on back-end architecture; designing, developing and maintaining SmithRx product features using various languages such as Golang, JavaScript/Typescript, Node, GraphQL, and SQL (amongst others), while leveraging full CI and CD to iterate quickly, • Collaborate with stakeholders and technical leads to understand functional and technical requirements to produce high-quality, scalable software and services, • Provide scope and risk estimates for system and feature builds by building technical design documentation, • Continually apply software development best practices, design patterns, testing, automation, tools and technologies., • Leverage AWS technologies, like Lambda and Fargate, to handle various types of jobs and batch processing, • Troubleshoot production issues by performing triages for issues that arise, assessing the impact, creating and executing a plan for short-term and long-term mitigation, and performing root cause analysis to prevent future occurrence of issues., • Coach/mentor junior team members in their assigned engineering projects by reviewing and providing feedback on code developed, and performing design and code reviews, • Work with senior leadership to turn technical vision into a tangible roadmap every quarter, • BS or advanced degree in computer science or applicable experience, • 8-12 years of software development experience working on server-side applications, specifically around API servers, third party integrations and data processing, • Experience at a high-growth startup a plus, • Expertise in a compiled language such as Go, Java or Kotlin is required, • Proficiency with relational databases such as PostgreSQL, including schema design, SQL tuning, and database monitoring is required, • Demonstrated experience designing and implementing scalable APIs; a solid understanding of design patterns, database design, and testing best practices., • Working knowledge of GraphQL APIs, CI and CD pipeline, AWS platform, Docker, and Kubernetes a plus, • Positivity; non-dogmatic, team-first attitude, • Flexibility; someone who is responsive and comfortable with ambiguity, • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: As a Technical Product Lead on the Voice AI Agent team, you'll drive the experience that matters most: making Regal's voice AI agents indistinguishable from the best human agents and the highest-performing in the market. You'll partner closely with engineering to set the product vision for how Regal evaluates, benchmarks, and continuously improves agent quality—building the eval frameworks, defining the performance bar, and translating frontier AI research into production gains our customers can feel on every call. This role sits at the heart of what makes Regal win. You'll work across infrastructure and applied to drive decisions that directly impact conversation quality and competitive differentiation. If you want to shape what "best-in-class" means for Voice AI—and have the technical depth and product instinct to back it up—this role is for you. RESPONSIBILITIES: Define and Own the Quality Bar: Partner with engineering to establish Regal's point of view on what makes the best Voice AI agent—across naturalness, accuracy, task completion, and conversational flow. Translate that vision into measurable standards the entire organization rallies around. Optimize the Latency-Cost-Intelligence Tradeoff: Develop the product strategy for balancing response time, inference cost, and model capability. Partner with engineering to architect a pipeline where customers get the smartest, fastest responses at sustainable unit economics. Build Evaluation & Benchmarking Frameworks: Develop comprehensive eval sets, automated regression suites, and A/B testing infrastructure to ensure Regal's agents stay top-performing as models, prompts, and configurations evolve. Stay at the Frontier: Track emerging trends in LLMs, speech-to-text, text-to-speech, and real-time inference. Evaluate new models, techniques, and architectures and translate the ones that matter into Regal's production stack. Drive Competitive Differentiation: Develop and execute a strategy for how Regal's Voice AI agents outperform alternatives—whether through model selection, latency optimization, or proprietary fine-tuning. Bridge Customers and Infrastructure: Go deep with customers to understand what "quality" means in their specific context (industry, use case, caller expectations), then translate those insights into infrastructure and model-level improvements that scale across the platform. Measure, Iterate, Ship: Define success metrics for agent quality (e.g., conversation completion rate, caller sentiment, response latency percentiles, escalation rate). Build dashboards, run experiments, and drive a continuous improvement loop with engineering and applied AI. Align and Communicate: Set a clear vision for the Voice AI team and communicate it crisply to leadership, engineering, and cross-functional stakeholders. Manage the roadmap, make hard prioritization calls, and keep the team moving fast toward outcomes that matter.ABOUT YOU: Technical Depth with Product Instinct: 4–6 years of experience as a Product Manager, Product Engineer or founder, ideally working on AI/ML products, infrastructure, or developer platforms. This role is Product lead for a research team, so you're comfortable navigating model architectures, inference pipelines, and API design—and you know how to translate that understanding into product decisions that move metrics. Eval & Data Mindset: You think in experiments, benchmarks, and feedback loops. You've built or contributed to evaluation frameworks, A/B testing programs, or quality scoring systems—and you understand why rigorous measurement is the foundation of any AI product. Natural Leader: You set a vision and bring others along. You communicate complex tradeoffs crisply, make decisions with incomplete information, and create clarity for your team in ambiguous, fast-moving environments. Deeply Curious, High Agency: You don't wait to be told what to investigate. You dig into call recordings, run your own experiments, read research papers, and chase down the root cause. You act with urgency and ownership. Preferred Background: Computer Science, Math, or Engineering background preferred but not required. What matters is that you can go deep on technical problems and come back with a clear product direction.Benefits/Perks • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • Subsidized Class Pass membership, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation